DECISION GUIDANCE METHODOLOGY FOR SUSTAINABLE MANUFACTURING USING PROCESS ANALYTICS FORMALISM
Guodong Shao, Alexander Brodsky, Seungjun Shin, Duck B. Kim
Sustainable manufacturing has significant impact on a companys business performance and competitiveness in todays world. A growing number of manufacturing industries are initiating efforts to address sustainability issues; however, to achieve a higher level of sustainability, manufacturers need methodologies for formally describing, analyzing, evaluating, and optimizing sustainability performance metrics for manufacturing processes and systems. Currently, such methodologies are missing. This paper introduces a systematic decision-guidance methodology that uses the Sustainable Process Analytics Formalism (SPAF) developed at the National Institute of Standards and Technology (NIST). The methodology provides step-by-step guidance for users to perform sustainability performance analysis using SPAF, which supports data querying, what-if analysis, and decision optimization for sustainability metrics. Users use data from production, energy management, and a life cycle assessment reference database for modeling and analysis. As an example, a case study of investment planning for energy management systems has been performed to demonstrate the use of the methodology.
Journal of Intelligent Manufacturing
Decision guidance, sustainable manufacturing, energy management, optimization, process analytics
, Brodsky, A.
, Shin, S.
and Kim, D.
DECISION GUIDANCE METHODOLOGY FOR SUSTAINABLE MANUFACTURING USING PROCESS ANALYTICS FORMALISM, Journal of Intelligent Manufacturing
(Accessed February 28, 2024)